Event box

Data Storytelling

When working with data, the ways in which we communicate about or discuss analysis is as important as the act of research itself. A large part of being able to effectively use data is to understand what stories are contained within data sets, and what information may play a key role in analysis. In this workshop, we will go over strategies to develop research questions tied to specific data sets, identify core elements of data that may lead to successful and fruitful analysis, as well as how to use both data and results from analysis to communicate ideas to academic and public audiences. 



This workshop is a part of the Data Visualization for Citizen Science and Community Data Series. For other workshops in the series, please see the links below: 

Data Storytelling | Starting September 12 

Data Visualization Best Practices  | September 26

Data Visualization in Tableau  |  October 10 & 24

Data Visualization in R  |  November 7

Data for Citizen Science on Community Data | November 14



Tuesday, September 12, 2023
12:00pm - 1:00pm
Time Zone:
Eastern Time - US & Canada (change)
Sorrells Library, Den
  Working With Data  
Registration has closed.

In-Person Event Information:

  • Indoor meetings and university-sponsored events of up to 50 persons are permitted. Due to COVID-19 campus restrictions, in-person workshops and events are only open to current CMU affiliates at this time.

  • Outdoor meetings and university-sponsored events are permitted up to 50% of outdoor facility capacity. 

  • For more information on in-person activities and spaces, please visit the university's COVID-19 Updates Guide

Workshops and events for Carnegie Mellon University Libraries are open to all, regardless of race, color, national origin, sex, disability, age, sexual orientation, gender identity, religion, creed, ancestry, belief, veteran status or genetic information.

If you require accessibility accommodations, please contact the event organizer.


Profile photo of Emma Slayton
Emma Slayton

Data Curation, Visualization, and GIS Specialist